Speed|ADR automates the most time-consuming step in production CT inspection: the manual review of 3D scan volumes by a human analyst. Purpose-built for high-volume industrial CT scanning, it applies trained algorithms to detect, classify, and quantify internal defects in seconds per part rather than minutes, delivering precise quantitative 3D data for real-time production process control.

How does automated defect recognition integrate into a production CT workflow?

Speed|ADR integrates with Phoenix Speed|scan CT systems and Volume Graphics' VGinLINE software to create a fully automated inspection pipeline. After CT acquisition, the software evaluates the 3D volume, detects anomalies such as porosity, cracks, and inclusions, and generates a quantitative results table with defect dimensions, locations, and statistics. This data feeds directly into production process control systems, allowing engineers to identify process drift — such as rising porosity in a casting — before it produces out-of-tolerance parts. The customizable interface presents 3D defect detection results in the format most relevant to each production role.

What manufacturing defects can Speed|ADR detect and quantify?

Speed|ADR is designed for the defect types most critical in high-volume manufacturing: internal porosity in castings and additively manufactured parts, cracks from thermal stress or material fatigue, and inclusions or impurity particles that compromise structural integrity. It provides precise 3D quantification — defect volume, location coordinates, nearest-surface distance, and statistical distributions — enabling engineers to distinguish between random anomalies and systematic process issues that require corrective action.

Frequently Asked Questions

What CT systems is Speed|ADR compatible with?

Speed|ADR is designed for Waygate Technologies' own Phoenix product line, specifically the Speed|scan high-speed CT system and Phoenix|X-Ray industrial CT systems, via Volume Graphics' VGinLINE automation interface.

How are defect recognition models trained?

Users or Waygate consultants annotate a representative set of CT images to label known defects, then train the inference model on this ground-truth dataset. Models can be retrained with new production data to improve accuracy over time, adapting to evolving manufacturing processes.

What quantitative outputs does Speed|ADR provide?

Speed|ADR outputs defect dimensions (length, width, depth), volume, spatial coordinates, nearest-surface distance, and statistical summaries — all in a sortable table format suitable for SPC trending and process capability analysis in manufacturing execution systems.